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AppLogic Networks seeks a Software Engineer II to build backend services for analytics platforms, including high-performance network traffic simulation tools and data processing workflows. You will collaborate with Architects, Tech Leads, and Tests Engineers across the full software lifecycle, contributing to API design, testing, and documentation, with a focus on reliability and scalability.
The role emphasizes practical AI fluency and secure, scalable platform components, aligning with our
AppLogic Networks powers the networks behind AI and the critical applications people rely on every day. We help network owners service providers and Enterprises understand how applications perform, how users experience them, and where action is needed to improve quality, efficiency, security, and profitability. Our software combines application intelligence, experience visibility, contextual insights, and real-time control to help customers elevate observability and do more with the networks they already run. As AI reshapes how the world works, connects, and communicates, AppLogic Networks helps ensure modern applications run smoothly across any network, from the consumer edge to the data center. Join our team and help build the software that makes networks smarter, more adaptive, and ready for what comes next.
AppLogic Networks delivers analytics platform capabilities focused on application identification, subscriber awareness, secure data handling, and large-scale network data processing. The Software Engineer II is responsible for developing new features for high performance network traffic simulation tools used to simulate customer environments for product system-level, functional and regression testing.
This role is responsible for the design and development of software features in a highly collaborative and fast-paced environment, working closely with Architects, Technical Leads, and Tests Engineers to deliver innovative features. You will be involved in the full software development lifecycle, from planning and design to implementation and documentation. You may assist in testing, debugging and modification of software. The role may include analysis of test results to ensure existing functionality and may make recommendations on corrective action
The role will contribute to backend services that support analytics workflows, data enrichment, secure API integrations, reporting, and platform scalability. The position requires strong backend engineering expertise, practical AI fluency, and working knowledge of React for frontend-backend collaboration. The engineer is expected to bring an innovation-driven mindset and contribute to building reliable, scalable, and secure platform components.
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